AI platform for generative video, image, and audio creation
Hedra builds an AI-native creation studio using foundation models like Character-3 to generate videos, images, and audio from text, images, or audio inputs. It serves content creators, marketers, and enterprises for social media, ads, and marketing collateral. The platform enables rapid production of consistent, scalable media trusted by Fortune 500 companies.
Account Executive responsible for driving the full sales cycle for Hedra's AI API and inference platform. Sell to technical buyers including developers, ML teams, and Fortune 100 enterprises; close complex deals and expand accounts while collaborating with product and engineering teams. Requires 5+ years in technical sales with strong track record closing enterprise deals.
Own post-sales technical relationships with API and inference customers at Hedra. Debug integrations, architect production deployments, translate customer feedback into product improvements, and drive adoption from pilot to scaled usage. Requires 4+ years customer-facing technical experience, hands-on Python/API skills, and curiosity in generative AI.
Own end-to-end written content strategy for an AI product across social, email, blog, and web channels. Translate complex AI concepts into compelling stories and drive brand voice.
Founding Growth Engineer owning experimentation, monetization infrastructure, and metrics-driven product work to convert visitors into retained customers at scale.
Design, build, and deploy scalable Python backend services and APIs on AWS to power creative tools, integrating with foundation models, Postgres, Redis, S3, and DynamoDB. Requires 5+ years building backend services with Python, Kubernetes/EKS, and relational databases.
Design and build frontend and backend services for creative tools using React, Next.js, TypeScript, and Python on AWS. Requires 5+ years of experience with modern web frameworks.
Leads original research in action-conditioned world models, physical AI, and generative modeling for embodied systems. Requires PhD in ML/CS/Robotics with top publications and expertise in generative models and large-scale training.
Leads pre-training and post-training of action-conditioned world models and VLA models for physical AI applications. Requires PyTorch expertise, distributed training, and ML fundamentals; robotics background preferred.